





"""simple docstring"""
from __future__ import annotations

import os
from typing import Any

import requests

__UpperCamelCase     :						Dict						       =  '''https://api.github.com'''

# https://docs.github.com/en/free-pro-team@latest/rest/reference/users#get-the-authenticated-user
__UpperCamelCase     :						List[str]						       =  BASE_URL + '''/user'''

# https://github.com/settings/tokens
__UpperCamelCase     :						Optional[int]						       =  os.environ.get('''USER_TOKEN''', '''''')

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    str			):
 lowerCAmelCase    				= {
     'Authorization': F'token {auth_token}',
     'Accept': 'application/vnd.github.v3+json',
 }
 return requests.get(_UpperCAmelCase  ,     headers=_UpperCAmelCase			).json()


if __name__ == "__main__":  # pragma: no cover
       if USER_TOKEN:
              for key, value in fetch_github_info(USER_TOKEN).items():
                     print(f'''{key}: {value}''')
       else:
              raise ValueError('''\'USER_TOKEN\' field cannot be empty.''')







import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


__lowerCAmelCase     :	int       			=  logging.get_logger(__name__)




class 			UpperCAmelCase_     (					_A	):


  '''simple docstring'''







  def __init__(					self     :					int     ,				*UpperCamelCase__     :					Optional[Any]     ,				**UpperCamelCase__     :					Optional[Any]       )     ->      None:







    """simple docstring"""






    warnings.warn(
        """The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
        """ use BeitImageProcessor instead."""     ,				UpperCamelCase__     ,				)
    super().__init__(*UpperCamelCase__     ,				**UpperCamelCase__       )

